HP HP Pro Mini 400 G9 Desktop PC
Geekbench ML Score
1308
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 12:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro Mini 400 G9 Desktop PC |
| Motherboard | HP 8C63 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500T |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
611
114.4 IPS |
|
|
Image Classification (F16)
|
100% |
610
114.2 IPS |
|
|
Image Classification (I8)
|
100% |
499
93.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
936
15.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
704
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4971
6.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
4975
6.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
3383
4.10 IPS |
|
|
Object Detection (F32)
|
100% |
660
49.2 IPS |
|
|
Object Detection (F16)
|
100% |
688
51.4 IPS |
|
|
Object Detection (I8)
|
54% |
548
40.9 IPS |
|
|
Face Detection (F32)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (I8)
|
89% |
942
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2641
20.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2876
22.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2208
17.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10250
13.5 IPS |
|
|
Style Transfer (F16)
|
100% |
10185
13.4 IPS |
|
|
Style Transfer (I8)
|
98% |
7701
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1660
59.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1654
59.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
920
32.9 IPS |
|
|
Text Classification (F32)
|
100% |
697
1.00 KIPS |
|
|
Text Classification (F16)
|
100% |
699
1.00 KIPS |
|
|
Text Classification (I8)
|
98% |
346
497.6 IPS |
|
|
Machine Translation (F32)
|
100% |
617
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
607
11.2 IPS |
|
|
Machine Translation (I8)
|
70% |
369
6.79 IPS |
